检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘晨光 李星新 于永利 孙也尊 LIU Chenguang;LI Xingxin;YU Yongli;SUN Yezun(Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050051,China;Unit 32382 of PLA,Beijing 100000,China)
机构地区:[1]陆军工程大学石家庄校区,河北石家庄050051 [2]中国人民解放军32382部队,北京100000
出 处:《软件工程》2020年第9期5-8,4,共5页Software Engineering
摘 要:装备保障性验证是控制装备保障性达到目标要求的有效手段,目前,装备保障性验证领域积累了很多技术方法以及海量异构的数据。知识图谱具有对知识、数据进行梳理从而进一步实现机器智能的作用。构建装备保障性验证领域知识图谱也将是装备保障性领域迈向智能化的开端。首先简要介绍装备保障性验证发展现状,其次概括知识图谱构建的技术方法和研究热点,然后提出装备保障性验证领域知识图谱构建方法以及逻辑和技术流程,最后对未来发展前景做了展望。Equipment supportability verification is an effective means to control equipment supportability to meet target requirements. At present, the field of equipment support verification has accumulated many technical methods and massive heterogeneous data. Knowledge graph has functions for sorting knowledge and data to further realize machine intelligence.Building knowledge graph for equipment supportability verification marks the initial effort of intelligence in the field of equipment supportability. This paper firstly introduces the development status of equipment supportability verification. Then, it summarizes the technical methods and research focuses of knowledge graph construction. Thirdly, it proposes the method as a logic and the technical process of knowledge graph construction in the field of equipment supportability. Finally, it depicts the future development.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.119.136.220